尽管有个别公司在研究动力膝关节和动力踝关节，但都没将两者结合起来，也没有想到通过患者的神经信号来控制假肢关节。
Although a few companies are developing powered knees and ankles, no company makes a lower leg prosthetic with both. And none are controlled by the amputee's nerve signals.
本文提出了一种基于改进的神经网络(MNN)的自适应闭环功率控制算法，该方法平滑了移动信道衰落的影响，使基站接收到的小区中所有用户的信号功率相等。
In this paper, a Modified Neural Network (MNN) based power controller is proposed to smoothen out the fast fading and keep the received signal power from each user constant at the base station.
本文提出一种人工神经网络（ANN）方法，确定暖通空调（HVAC）系统对控制信号响应的时间迟延，在研究中选用了四层网络。
This paper presents an artificial neural network(ANN) approach to determine the time delay for a heating, ventilating, and air -conditioning(HVAC)plant to respond to control actions.
本文给出了一种利用线性输出神经网络实现标量混沌信号同步控制的方法。
An approach to the control and synchronization of the scalar chaotic signal by means of neural networks with linear outputs is presented.
结果当患者用脑意识控制幻想患肢动作时，肌电图仪可同步显示实时神经信息电信号。
Results The real-time signals of the nerves can be displayed on the EMG instrument as the patient imaged various kinds of actions with consciousness.
模糊神经网络由于其简单实用，已被广泛用于工业过程控制、信号处理等领域。
Because fuzzy neural network is simple and practical, it has been widely used in industrial process control, signal processing and other fields.
常规控制器对系统给出粗略控制，神经网络控制器给出补偿信号来进一步减小系统输出跟踪误差。
The approximate controller gives the rough control and the neural network controller gives the complementary signal to further reduce the output tracking error.
结论EGF在神经元的信号转导中具有信号整合与复杂自适应控制的特征。
EGF signalling transduction in neuron has a signal integration and a complex self-adaptive control character.
该控制器以系统动态误差和给定信号量作为CMAC的激励信号，并与自适应线性神经元网络相结合构成系统的复合控制。
Combining it with the adaptive linear neuron network, the multiplex control strategy takes the dynamic errors and given signals of the system as input signals to the CMAC neural network.
提出一种改进的模型跟随自适应控制算法，该改进算法把系统当前输出误差引入控制信号，同时利用线性神经网络估计系统新的输出误差。
A modified adaptive model following control algorithm was presented, in which the system output error is added to control signal and the next time output error is evaluated by linear networks.
软件设计首先完成了PWM信号的输出与时序控制，并设计了键盘输入功能模块、LED显示功能模块、电流电压信号采样功能模块，以及模糊神经算法自学习软件功能模块。
The software design implemented PWM output and sequence control module, keyboard input module, LED display module, current and voltage sampling module and fuzzy neural algorithm self study module.
计算结果与实验测量的比较表明：正向动力学方法可将肢体运动状态、肌肉收缩力、神经控制信号等联系起来，求解人体步态的控制模式。
The results show that forward dynamics theory can model the limb movements, muscular forces and neural control signals to simulate the control of a natural gait.
神经mos晶体管是一种具有多输入栅加权信号控制和阈值可调控的高功能度的新型器件。
The neuron MOS transistor is a recently discovered device which is capable of executing a weighted sum calculation of multiple input signals and threshold operation based on the result of summation.
介绍了一种模糊与神经网络相结合的控制方法，借以克服模糊控制存在稳态偏差的不足和神经网络对小偏差信号不敏感的缺陷。
The fuzzy and neural networks combined control overcomes the stable state error of the fuzzy control and the poor-sensitivity of the neural networks to minor system error.
本试验的目的在于应用纵行神经束内电极记录周围神经束的电信号，探讨新的假肢控制信息源控制电子假手的可能性。
The purpose of this experiment was to record signals of peripheral fasciculi with LIFEs and to discuss the possibility of these signals as a new signal source to control an electronic prosthetic hand.
神经网络缓慢子系统防止控制信号被饱和。
The NN slow subsystem keeps the control signal from being saturated.
其中，模型逆基于悬停状态，基于神经网络的自适应控制律能够确保跟踪误差和控制信号的有界。
The model inversion is under the hover condition. And the adaptive control law based on the neural network is designed to guarantee the boundedness of tracking error and control signals.
其实质是用神经网络作为预测模型，产生预测信号，用滚动优化算法求出控制律，从而实现对非线性系统的预测控制。
Actually it USES the neural networks as the predictive models to produce the predictive signals, the control law is solved by optimized algorithm, accordingly control nonlinear system.
本发明公开了一种以神经元电路为基本单元的电压比较器电路，它包括：一具有两个输入端和一个控制端的二选一电路，用于选择比较器的两输入信号之一；
The voltage comparator circuit using neural circuit as basic unit includes an either-or circuit with two input ends and one control end for selecting one of two input signals of comparator;
本发明公开了一种以神经元电路为基本单元的电压比较器电路，它包括：一具有两个输入端和一个控制端的二选一电路，用于选择比较器的两输入信号之一；
The voltage comparator circuit using neural circuit as basic unit includes an either-or circuit with two input ends and one control end for selecting one of two input signals of comparator;
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